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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
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1 to 3 of 3 Research Studies DisplayedHernandez SE, Solomon D, Moon J
Understanding clinical implementation coordinators' experiences in deploying evidence-based interventions.
Researchers described their fluoroquinolone restriction for the prevention of Clostridioides difficile infection (FIRST) trial, a multisite clinical study which used an electronic health record-based best-practice alert to optimize the use of fluoroquinolone antibiotics in acute care settings. Their goals were to describe the roles and responsibilities of clinical implementation coordinators within antibiotic stewardship teams and to identify facilitators and barriers coordinators experienced within the implementation process. The researchers conducted directed content analysis of semistructured interviews, implementation diaries, and check-in meetings. Their results indicated that clinical implementation coordinators facilitated the implementation process via their roles and responsibilities and acted as strategic partners in the improvement of adoption and sustainability of a fluoroquinolone preauthorization protocol.
AHRQ-funded; HS026226.
Citation: Hernandez SE, Solomon D, Moon J .
Understanding clinical implementation coordinators' experiences in deploying evidence-based interventions.
Am J Health Syst Pharm 2024 Feb 8; 81(4):120-28. doi: 10.1093/ajhp/zxad272.
Keywords: Evidence-Based Practice, Implementation, COVID-19
Powell KR, Winkler AE, Liu J
A mixed-methods analysis of telehealth implementation in nursing homes amidst the COVID-19 pandemic.
The objective of this study was to investigate the implementation of telehealth in nursing homes during the COVID-19 pandemic. Researchers conducted a secondary analysis of data from a national survey of nursing home administrative leaders using six survey questions and semi-structured interviews. Their conclusions indicate that training, restructuring teams and tasks, and adaptation of work processes to support communication could improve usability and sustainability of telehealth in nursing homes.
AHRQ-funded; HS02249.
Citation: Powell KR, Winkler AE, Liu J .
A mixed-methods analysis of telehealth implementation in nursing homes amidst the COVID-19 pandemic.
J Am Geriatr Soc 2022 Dec;70(12):3493-502. doi: 10.1111/jgs.18020..
Keywords: COVID-19, Elderly, Telehealth, Health Information Technology (HIT), Nursing Homes, Implementation
Hinson JS, Klein E, Smith A
Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions.
This study’s objective was to develop, implement, and evaluate an electronic health record (EHR) embedded clinical decision support (CDS) system that leveraged machine learning (ML) to estimate short-term risk for clinical deterioration in patients with or under investigation for COVID-19. The system translates model-generated risk for critical care needs within 24 hours and inpatient care needs within 72 hours into rapidly interpretable COVID-19 Deterioration Risk Levels made viewable within ED clinician workflow. A retrospective cohort of 21,452 ED patients who visited one of five ED study sites was used to derive ML models and were prospectively validated in 15,670 ED visits that occurred before (n = 4322) or after (n = 11,348) CDS implementation. Model performance and numerous patient-oriented outcomes including in-hospital mortality were measured across study periods. ML model performance was excellent under all conditions. AUC ranged from 0.85 to 0.91 for prediction of critical care needs and 0.80-0.90 for inpatient care needs. Total mortality was unchanged across study periods but was reduced among high-risk patients after the implementation.
AHRQ-funded; HS026640.
Citation: Hinson JS, Klein E, Smith A .
Multisite implementation of a workflow-integrated machine learning system to optimize COVID-19 hospital admission decisions.
NPJ Digit Med 2022 Jul 16;5(1):94. doi: 10.1038/s41746-022-00646-1..
Keywords: COVID-19, Clinical Decision Support (CDS), Health Information Technology (HIT), Implementation, Electronic Health Records (EHRs), Emergency Department, Shared Decision Making